The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Aggressive assembly of pyrosequencing reads with mates
Open accessAbstract
Motivation: DNA sequence reads from Sanger and pyrosequencing platforms differ in cost, accuracy, typical coverage, average read length and the variety of available paired-end protocols. Both read types can complement one another in a ‘hybrid’ approach to whole-genome shotgun sequencing projects, but assembly software must be modified to accommodate their different characteristics. This is true even of pyrosequencing mated and unmated read combinations. Without special modifications, assemblers tuned for homogeneous sequence data may perform poorly on hybrid data. Results: Celera Assembler was modified for combinations of ABI 3730 and 454 FLX reads. The revised pipeline called CABOG (Celera Assembler with the Best Overlap Graph) is robust to homopolymer run length uncertainty, high read coverage and heterogeneous read lengths. In tests on four genomes, it generated the longest contigs among all assemblers tested. It exploited the mate constraints provided by paired-end reads from either platform to build larger contigs and scaffolds, which were validated by comparison to a finished reference sequence. A low rate of contig mis-assembly was detected in some CABOG assemblies, but this was reduced in the presence of sufficient mate pair data. Availability: The software is freely available as open-source from http://wgs-assembler.sf.net under the GNU Public License. Contact: jmiller@jcvi.org Supplementary information: Supplementary data are available at Bioinformatics online.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Versatile and open software for comparing large genomes
Kurtz, S., Phillippy, A., Delcher, A. L., Smoot, M., Shumway, M., Antonescu, C., & Salzberg, S. L. (2004) · Genome Biology · doi:10.1186/gb-2004-5-2-r12 · Cited by 5,254
Self-citationThe complete genome of an individual by massively parallel DNA sequencing
Wheeler, D. A., Srinivasan, M., Egholm, M., Shen, Y., Chen, L., McGuire, A., He, W., Chen, Y.-J., Makhijani, V., Roth, G. T., et al. (2008) · Nature · doi:10.1038/nature06884 · Cited by 1,838
The Diploid Genome Sequence of an Individual Human
Levy, S., Sutton, G., Ng, P. C., Feuk, L., Halpern, A. L., Walenz, B. P., Axelrod, N., Huang, J., Kirkness, E. F., Denisov, G., et al. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050254 · Cited by 1,778
Self-citation
Cited by
FLASH: fast length adjustment of short reads to improve genome assemblies
Magoč, T., & Salzberg, S. L. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr507 · Cited by 15,366
Haplotype-resolved de novo assembly using phased assembly graphs with hifiasm
Cheng, H., Concepcion, G. T., Feng, X., Zhang, H., & Li, H. (2021) · Nature Methods · doi:10.1038/s41592-020-01056-5 · Cited by 5,859
Assembly of long, error-prone reads using repeat graphs
Kolmogorov, M., Yuan, J., Lin, Y., & Pevzner, P. A. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0072-8 · Cited by 5,986
A fast, lock-free approach for efficient parallel counting of occurrences of k -mers
Marçais, G., & Kingsford, C. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr011 · Cited by 4,661
Merqury: reference-free quality, completeness, and phasing assessment for genome assemblies
Rhie, A., Walenz, B. P., Koren, S., & Phillippy, A. M. (2020) · Genome Biology · doi:10.1186/s13059-020-02134-9 · Cited by 3,643
Self-citationThe complete sequence of a human genome
Nurk, S., Koren, S., Rhie, A., Rautiainen, M., Bzikadze, A. V., Mikheenko, A., Vollger, M. R., Altemose, N., Uralsky, L., Gershman, A., et al. (2022) · Science · doi:10.1126/science.abj6987 · Cited by 3,136
Self-citationRepetitive DNA and next-generation sequencing: computational challenges and solutions
Treangen, T. J., & Salzberg, S. L. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3117 · Cited by 1,597
The genome sequence of Atlantic cod reveals a unique immune system
Star, B., Nederbragt, A. J., Jentoft, S., Grimholt, U., Malmstrøm, M., Gregers, T. F., Rounge, T. B., Paulsen, J., Solbakken, M. H., Sharma, A., et al. (2011) · Nature · doi:10.1038/nature10342 · Cited by 741
A Catalog of Reference Genomes from the Human Microbiome
The Human Microbiome Jumpstart Reference Strains Consortium, Nelson, K. E., Weinstock, G. M., Highlander, S. K., Worley, K. C., Creasy, H. H., Wortman, J. R., Rusch, D. B., Mitreva, M., Sodergren, E., et al. (2010) · Science · doi:10.1126/science.1183605 · Cited by 702
Self-citationPiercing the dark matter: bioinformatics of long-range sequencing and mapping
Sedlazeck, F. J., Lee, H., Darby, C. A., & Schatz, M. C. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0003-4 · Cited by 530
The bonobo genome compared with the chimpanzee and human genomes
Prüfer, K., Munch, K., Hellmann, I., Akagi, K., Miller, J. R., Walenz, B., Koren, S., Sutton, G., Kodira, C., Winer, R., et al. (2012) · Nature · doi:10.1038/nature11128 · Cited by 579
Self-citationThe draft genome and transcriptome of Cannabis sativa.
van Bakel, H., Stout, J. M., Cote, A. G., Tallon, C. M., Sharpe, A. G., Hughes, T. R., & Page, J. E. (2011) · Genome Biology · doi:10.1186/gb-2011-12-10-r102 · Cited by 575
Nanopore sequencing and the Shasta toolkit enable efficient de novo assembly of eleven human genomes
Shafin, K., Pesout, T., Lorig-Roach, R., Haukness, M., Olsen, H. E., Bosworth, C., Armstrong, J., Tigyi, K., Maurer, N., Koren, S., et al. (2020) · Nature Biotechnology · doi:10.1038/s41587-020-0503-6 · Cited by 567
Self-citationEfficient assembly of nanopore reads via highly accurate and intact error correction
Chen, Y., Nie, F., Xie, S.-Q., Zheng, Y.-F., Dai, Q., Bray, T., Wang, Y.-X., Xing, J.-F., Huang, Z.-J., Wang, D.-P., et al. (2021) · Nature Communications · doi:10.1038/s41467-020-20236-7 · Cited by 446
Dalloul, R. A., Long, J. A., Zimin, A. V., Aslam, L., Beal, K., Ann Blomberg, L., Bouffard, P., Burt, D. W., Crasta, O., Crooijmans, R. P. M. A., et al. (2010) · PLoS Biology · doi:10.1371/journal.pbio.1000475 · Cited by 416
Montague, M. J., Li, G., Gandolfi, B., Khan, R., Aken, B. L., Searle, S. M. J., Minx, P., Hillier, L. W., Koboldt, D. C., Davis, B. W., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1410083111 · Cited by 340
Improving PacBio Long Read Accuracy by Short Read Alignment
Au, K. F., Underwood, J. G., Lee, L., & Wong, W. H. (2012) · PLoS ONE · doi:10.1371/journal.pone.0046679 · Cited by 335
Ye, C., Hill, C. M., Wu, S., Ruan, J., & Ma, Z. (2016) · Scientific Reports · doi:10.1038/srep31900 · Cited by 304
Epigenetic patterns in a complete human genome
Gershman, A., Sauria, M. E. G., Guitart, X., Vollger, M. R., Hook, P. W., Hoyt, S. J., Jain, M., Shumate, A., Razaghi, R., Koren, S., et al. (2022) · Science · doi:10.1126/science.abj5089 · Cited by 297
Self-citationAn improved genome assembly uncovers prolific tandem repeats in Atlantic cod
Tørresen, O. K., Star, B., Jentoft, S., Reinar, W. B., Grove, H., Miller, J. R., Walenz, B. P., Knight, J., Ekholm, J. M., Peluso, P., et al. (2017) · BMC Genomics · doi:10.1186/s12864-016-3448-x · Cited by 137
Self-citationComparative studies of de novo assembly tools for next-generation sequencing technologies
Lin, Y., Li, J., Shen, H., Zhang, L., Papasian, C. J., & Deng, H. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr319 · Cited by 126
Characteristics of 454 pyrosequencing data—enabling realistic simulation with flowsim
Balzer, S., Malde, K., Lanzén, A., Sharma, A., & Jonassen, I. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq365 · Cited by 124
Baalsrud, H. T., Tørresen, O. K., Solbakken, M. H., Salzburger, W., Hanel, R., Jakobsen, K. S., & Jentoft, S. (2018) · Molecular Biology and Evolution · doi:10.1093/molbev/msx311 · Cited by 116
New approaches for genome assembly and scaffolding
Rice, E. S., & Green, R. E. (2019) · Annual Review of Animal Biosciences · doi:10.1146/annurev-animal-020518-115344 · Cited by 110
Schafleitner, R., Tincopa, L. R., Palomino, O., Rossel, G., Robles, R. F., Alagon, R., Rivera, C., Quispe, C., Rojas, L., Pacheco, J. A., et al. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-604 · Cited by 95
Xu, F., Jerlström-Hultqvist, J., Einarsson, E., Ástvaldsson, Á., Svärd, S. G., & Andersson, J. O. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004053 · Cited by 74
Tørresen, O. K., Brieuc, M. S. O., Solbakken, M. H., Sørhus, E., Nederbragt, A. J., Jakobsen, K. S., Meier, S., Edvardsen, R. B., & Jentoft, S. (2018) · BMC Genomics · doi:10.1186/s12864-018-4616-y · Cited by 46
The Most Developmentally Truncated Fishes Show Extensive Hox Gene Loss and Miniaturized Genomes
Malmstrøm, M., Britz, R., Matschiner, M., Tørresen, O. K., Hadiaty, R. K., Yaakob, N., Tan, H. H., Jakobsen, K. S., Salzburger, W., & Rüber, L. (2018) · Genome Biology and Evolution · doi:10.1093/gbe/evy058 · Cited by 40
Natural history of SLC11 genes in vertebrates: tales from the fish world
Neves, J. V., Wilson, J. M., Kuhl, H., Reinhardt, R., Castro, L. F. C., & Rodrigues, P. N. (2011) · BMC Evolutionary Biology · doi:10.1186/1471-2148-11-106 · Cited by 24
Metadata
- Authors
- Miller, J. R., Delcher, A. L., Koren, S., Venter, E., Walenz, B. P., Brownley, A., Johnson, J., Li, K., Mobarry, C., & Sutton, G.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-10-24
- Volume
- 24
- Issue
- 24
- Pages
- 2818-2824
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2096634299
- Cited by
- 602
- References
- 3
- FWCI
- 18.36
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.